The project endeavored to design and develop a Web-based Performance Evaluation System with integration of rule-based algorithm that will analyze the performance of each reviewee based on the scores from their examination. The algorithm automatically provides suggested reading materials based on the result of the assessment. With this, the system will help the reviewees assess their own performance. The system was developed using Agile Methodology Model of Software Development. The software produced was tested using Alpha and Beta software tastings. The FURPS model was used to assess the software quality as perceived by the selected group of respondents. The system was found to be functional, meeting the designed functional requirements specifications.

Grit plays a crucial role in determining high individual success more than intellectual talent alone. However, there is no existing literature that ventured into the trait identification in an e-learning environment. This study presents a comprehensive computational-driven strategy for detecting a learner's grit using machine learning. Empirical results show that DBSCAN and Random Forest models produce average accurate prediction consistency of 92.67% against the questionnaire method. Knowledge interpretation using feature importance and association mining quantifies perseverance and sustained interest as the most pressing component of grit. Correlational analysis reveals that grit has a weak connection with course grades (short-term goal) but demonstrates a strong positive association with professional achievement (long-term goal) and maturation. Collectively, our findings substantiate that breakthrough accomplishment is contingent not solely on cognitive ability but on constant interests and resilience.

Teachers have tried to teach their students by introducing text books along with verbal instructions in traditional education system. However, teaching and learning methods could be changed for developing Information and Communication Technology (ICT). It's time to adapt students with interactive learning system so that they can improve their learning, catching, and memorizing capabilities. We developed an educational resource material (animated film in Tahderiyyah Literacy App) for students of pre-school level using different Muslim practices content. The objective of this paper is to examine the impact of student's abilities to acquire new knowledge or skills through educational resource materials and blended learning that is integration of material with teacher's instructions. We visited a primary school in Manila City, Philippines for this study and conducted evaluation in different sessions with the same groups of students (i) the first session was with only educational resource material and assessment was done with 10 questionnaires, (ii) the second session was with the animated film combined with teacher's instructions and assessed with the same questionnaires. This integration of animated film with verbal instructions is a blended approach of learning. The approach greatly promoted student's ability of acquisition of knowledge and skills. Students response and perception were very positive towards the blended technique than the other methods. This resource may be appropriate method to be part of blending leaning system especially for school children.

Crafting a good digital experience for children can be difficult; game designers have to consider children's cognitive and motor skill limitations, understand their target audience, create something entertaining and educational at the same time. This should also comply with national and international jurisdiction, and time appeal to parents as well. In this paper the researchers used of an educational game called Tahderiyyah Literacy App (TLA) with standard general framework which designers and developers created for children ages four to six years old. This platform has been the testing ground for the edutainment game in the field of user experience. The purpose of the paper is to observe the interactions, experience and adaptation of kindergarten pupil (learners) on a particular on the TLA based on game's user experience. TLA was design using their mother tongue which can be played on mobile devices. Focusing only to learners from Muslim Community. While the term User Experience encompasses both physical and digital experiences, the main focus for the framework is purely for digital services wherein only touch based devices are evaluated in greater detail. On the assessment process, students were observed and interviewed about the game and what they learned about numbers and letters from game they played. This process was done to help the kindergarten answers their questionnaires. Every learner that act as respondents were guided to answer the answer the questionnaires given to them. Results of using TLA to analyze an HCI factors in learning environment are described in the later part of this paper. Implications for using TLA as a design for pedagogical tool are also discussed.

Automatic feeders remain the greatest alternative for feeding fish to replace the human technique, and they are also the cheapest and most accurate method due to the low cost of microcontrollers. The study aims to design a project that would automatically dispense feed based on the user’s preferences through timer and message the owner thru GSM, if the feeding process was done. Prototypes are used to see if design perform as they are supposed to. According to development and testing the project was proven that the design was effective and efficient. Based on the result of the evaluation. The proponents found out that the majority of the respondents agreed that the proposed application has met. The proposed application will be a great help to the fishermen and aquarium owners because they will be relaxing and defendant to the application.

The blockchain phenomena is no longer about Bitcoin or cryptocurrency, it is beyond a common protocol to make it nearly impossible to create fraudulent transaction. Blockchain based architecture overall performance is subjected to storage expenses with high computational cost. This paper designed a new consensus protocol for Blockchain using Content Addressable Pattern with the adaptation of modified SHA256 algorithm. Although government, business and other entities interest of adapting blockchain to their processes, the complexity issues and operational cost is still a challenge to date. With the newly design consensus protocol the process of validating the transaction that involves tedious mining or solving cryptographic puzzles has been eliminated and move towards using signature to authenticate the transaction. Concatenation of all these elements is a generated hash value using modified SHA256. Since the hash is secured, the transaction is secured. Thus, the implementation of off-chain chanel instead of global consensus addresses the complexity and high computational cost of blockchain technology.

In this paper, we analyze the effect of the representative spectral indices, normalized difference vegetation index (NDVI), normalized difference water index (NDWI) and normalized difference built-up index (NDBI) on classification accuracies of Landsat-8 OLI image. After creating these spectral index images, we propose five methods to select the spectral index images as classification features together with Landsat-8 OLI bands from 1 to 7. From the experiments we observed that when the spectral index image of NDVI or NDWI is used as one of the classification features together with the Landsat-8 OLI bands from 1 to 7, we can obtain higher overall accuracy and kappa coefficient than the method using only Landsat-8 OLI 7 bands. In contrast, the classification method, which selected only NDBI as classification feature together with Landsat-8 OLI 7 bands did not show the improvement in classification accuracies.

Academic Analytics is extracting hidden patterns from educational databases. The main goal of this area is to extract hidden patterns from student academic performances and behaviors. One of the main topics in academic analytics is to study the academic performance of freshman students. Students enrolled in first year are the most vulnerable to low student retention in higher education institution. Research studies from different Higher Educational Institutions already indicated that early identification of students with academic difficulty is very crucial in the development of intervention programs. As such, early identification of potential leavers and successful intervention program(s) are the keys for improving student retention. The study will utilize the available enrollment and admission data. Feature selection technique will be used to determine significant attributes. The study aims to produce predictive and cluster model in which can early identify students who are in need of academic help and program interventions. The extracted predictive and cluster models will be evaluated using confusion matrix and be integrated in the decision support application.

Event Management Solution is a web application for EINS Consultancy that allows users to manage events, announcements, and content of the website. Management includes creation, deletion, update, and view. Both the System Manager and Administrator have the privilege to manage events, announcements, and content of the website. Only the System Manager has the privilege to manage user accounts and view the audit trail. While the end-user is able to view the created events and posted announcements. Also, an end-user could register to available events through an electronic form. EINS event management solution is a platform that handles event management and registration modules. With the above mentioned features, the system can produce easy access reports from the centralized repository of data. This leads to lessen or illuminate inaccurate reports from the current processes used by EINS Consultancy. The researcher used prototyping model as a software developmental technique in developing the application. Different test levels were conducted in order to determine the acceptability of the software which include alpha, beta and user acceptance test.